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The Johnson-Lindenstrauss bound for embedding w...
on the 20 newsgroups text document (TF-IDF word frequencies)...newsgroups dataset some 300 documents with 100k features in total...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
8.4. Loading other datasets — scikit-lear...
scikit-learn.org/stable/datasets/loading_other_datasets.html -
KNeighborsTransformer — scikit-learn 1.7....
scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
Search settings API | App Search documentation ...
settings API IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Search settings API Use...www.elastic.co/guide/en/app-search/8.19/search-settings.html -
Roadmap — scikit-learn 1.7.2 documentation
# Purpose of this document # This document lists general directions...maintaining a high-quality, well-documented collection of canonical tools...scikit-learn.org/stable/roadmap.html -
Plot classification probability — scikit-...
This example illustrates the use of sklearn.inspection.DecisionBoundaryDisplay to plot the predicted class probabilities of various classifiers in a 2D feature space, mostly for didactic purposes. ...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Gaussian Mixture Models — scikit-learn 1....
Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...scikit-learn.org/stable/auto_examples/mixture/index.html -
Underfitting vs. Overfitting — scikit-lea...
This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function ...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
RBF SVM parameters — scikit-learn 1.7.2 d...
This example illustrates the effect of the parameters gamma and C of the Radial Basis Function (RBF) kernel SVM. Intuitively, the gamma parameter defines how far the influence of a single training ...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
Nearest Neighbors Classification — scikit...
This example shows how to use KNeighborsClassifier. We train such a classifier on the iris dataset and observe the difference of the decision boundary obtained with regards to the parameter weights...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html